NMFLRED: Neuro-Multilevel-Fuzzy Logic RED Approach for Congestion Control in TCP/IP Differentiated Services
Keywords:
Congestion, Fuzzy, Neural, DSCP, Delay, Packet loss, REDAbstract
The problem of congestion is ubiquitous and will remain forever, which is not limited to the field of networking but also in another field. The rapid expansion of the internet especially after corona pandemic in addition to the development of new computer technology such as ChatGPT, real time video and audio have accelerated the exponential increase in high-speed computer networks. The number of computers supporting more and more applications using the network has led to a significant increase in the number of packets passing across those networks, which has resulted in resource contention and ultimately leads to congestion. Thus, a solution needs to be drawn out which works for different prioritize packet with different forwarding and dropping probabilities. A neural network for self-adaptive and learning while Fuzzy logic for multi-variable linguistic calculation is used to generate an algorithm which is proposed in this research paper. A method using Multilevel Dropping method for different types of packets has been proposed which clearly shows that overall performance has been largely increased.
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